title: “Course Project:Shiny Application and Reproducible Pitch”
author: “Michelle Tan”
date: “1/20/2018”
output: ioslides_presentation
First Slide Diamond Analysis Report Diamond Data Analysis Report enabled developing data products using shiny apps being embeded within RMarkDown.
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This application it is building linear regression model using diamonds data set and is predicting the price of a diamond depending of its properties.The application allows the user to select:
Application Overview - Bullet 1 Diamonds Properties can be analysed using several Parameters. - Bullet 2 Carat,Price,sample size,color Depth are some of the common parameters. - Bullet 3 This Report enables to pick the right parameters for the best Diamond selection.
Slide With Code The data used for this application is diamonds data set, which is part of ggplot2 package. Containing information about 53940 diamonds with 10 variables.
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## Length Class Mode
## 1 character character## # A tibble: 6 x 10
## carat cut color clarity depth table price x y z
## <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
## 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
## 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
## 3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
## 4 0.29 Premium I VS2 62.4 58 334 4.20 4.23 2.63
## 5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
## 6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48